Research of Mine Wireless Video Monitoring Sub-Station Based on WIFI

2012 ◽  
Vol 214 ◽  
pp. 605-609 ◽  
Author(s):  
Wen Li Lei ◽  
Xin Cheng Ren ◽  
Yan Hu Fan
Keyword(s):  
Cloud Computing ◽  
Access Point ◽  
Video Data ◽  
Video Monitoring ◽  
Network Technology ◽  
Wireless Video ◽  
Widespread Application ◽  
Computing Platform ◽  
Search Data ◽  
Super Computing

With the development of country's attention to safe production of mine, electronic technology and network technology begin to get widespread application in the mine exploration and monitoring. It has been brought forward a new method of mine wireless video monitoring sub-station based on WIFI wireless network technology, it send the collected video data to the ground monitoring equipment through wireless video capture terminals and wireless access point AP which has been installing in the mine tunnel, with a router connected to the cloud computing platform that enables remote monitoring terminal access, and it can intelligently analyze, search, data mining and other complex calculations by using of super-computing ability of cloud computing , in order to achieve the monitoring of mine production site.

Design of Hi3510-Based Embedded Wireless Video Monitoring System

2011 ◽  
Vol 189-193 ◽  
pp. 3605-3611
Author(s):  
Ying Zhan Yan ◽  
Ling Peng ◽  
Song Fa Huang
Keyword(s):  
Real Time ◽  
Video Data ◽  
Video Monitoring ◽  
Wireless Video ◽  
Data Encoding ◽  
Monitoring Applications ◽  
Real Time Transmission ◽  
Growth And Change ◽  
Transmission Speed ◽  
Constant Growth

To meet the needs of video monitoring applications, the paper researches and designs of Hi3510-based embedded wireless video monitoring systems.The systems uses H.264 for video data encoding, combining Hi3510 encoding API to adjust H.264 rate control dynamically. Based on real-time transmission control RTP / RTCP protocol, in order to achieve adaptability and guarantee the QoS of the real-time transmission, this paper presents variable constant growth and change constant reduction method to adjust the transmission speed dynamically. In addition, this paper processes the packet loss during transmission processing, trying to ensure the I-frame reliable transmission. To transplant DWL-G122 wireless network card, it can realize communication.

Hadoop and PaaS Collaborative Practice Research in Video Monitoring Platform

2014 ◽  
Vol 543-547 ◽  
pp. 3549-3554 ◽  
Author(s):  
Wei Dong Zhang ◽  
Xiang Qian Ding ◽  
Rui Chun Hou
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Reference Model ◽  
Collaborative Practice ◽  
Video Monitoring ◽  
Practice Research ◽  
Platform As A Service ◽  
Computing Platform ◽  
Program Function ◽  
Monitoring Platform

Cloud computing is an important area of current information technology research, particularly into the era of big data, Platform as a Service (PaaS) has become the industry to explore one of the hot clouds computing. But the function of the composition and architecture of platform services not yet conclusive, the paper on the application of Video monitoring platform through collaborative practice hadoop and PaaS, and proposed a new cloud computing platform Video monitoring solutions, PaaS and various modules under this program function overview. Provides a reference model for the era of big data Hadoop and PaaS collaborative applications.

Analysis of the Data Mining Application Based on Cloud Computing

2013 ◽  
Vol 397-400 ◽  
pp. 2426-2429
Author(s):  
Xiao Hui Li ◽  
Wei Liu ◽  
Le Le Wang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Network Technology ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Massive Information ◽  
Data Mining Application

Cloud computing as a new network technology has been widely used in various fields, a important role of cloud computing is the storage and management for massive information data, therefore the cloud computing provides a good platform for data mining. This paper first describes simply on cloud computing, and then expounds and analyzes data mining application which based on cloud computing, finally introduces the data mining application based on cloud computing platform.

Power Management of Virtualized Cloud Computing Platform

2012 ◽  
Vol 35 (6) ◽  
pp. 1262 ◽  
Author(s):  
Ke-Jiang YE ◽  
Zhao-Hui WU ◽  
Xiao-Hong JIANG ◽  
Qin-Ming HE
Keyword(s):  
Cloud Computing ◽  
Power Management ◽  
Computing Platform ◽  
Cloud Computing Platform

Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

2020 ◽  
Vol 29 (2) ◽  
pp. 1-24
Author(s):  
Yangguang Li ◽  
Zhen Ming (Jack) Jiang ◽  
Heng Li ◽  
Ahmed E. Hassan ◽  
Cheng He ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Node Failures

Internet of things-based cloud computing platform for analyzing the physical health condition

2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Disease Diagnosis ◽  
Health Condition ◽  
Computing Platform ◽  
Concept Model ◽  
Patient Health ◽  
Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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